Evidence map›Paper›PMID 38712971›Full record

ArticleMicrobiology spectrum2024

Utility of a multiplex pathogen detection system directly from respiratory specimens for treatment and diagnostic stewardship.

Smriti Srivastava, Neha Sharad, Vandana Vijayeta Kiro, Aparna Ningombam, Sharad Shrivastava, Kamran Farooque, Purva Mathur

Abstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Rapid commercial CTX-M diagnostics: Performance, limitations and clinical impact.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  2. Review
  3. Design of a 2D Melting Curve-Based Multiplex PCR Assay for Detection of SARS-CoV-2/RSV/Influenza A-B.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Smriti SrivastavaDepartment of Microbiology, AIIMS, New Delhi, India.ORCID 0000-0002-7252-8993
Neha SharadDepartment of Microbiology, AIIMS, New Delhi, India.
Vandana Vijayeta KiroDepartment of Microbiology, AIIMS, New Delhi, India.
Aparna NingombamDepartment of Laboratory Medicine, JPNATC, AIIMS, New Delhi, India.
Sharad ShrivastavaDepartment of Laboratory Medicine, JPNATC, AIIMS, New Delhi, India.
Kamran FarooqueDepartment of Orthopaedic, JPNATC, AIIMS, New Delhi, India.
Purva MathurDepartment of Laboratory Medicine, JPNATC, AIIMS, New Delhi, India.ORCID 0000-0003-4429-3688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of syndrome-based panels for various ailments has widened the scope of diagnostics in many clinical settings. These panels can detect a multitude of pathogens responsible for a particular condition, which can lead to a timely diagnosis and better treatment outcomes. In contrast to traditional identification methods based on pathogen growth on culture, syndrome-based panels offer a quicker diagnosis, which can be especially beneficial in situations requiring urgent care, such as intensive care units. One such panel is the Biofire Filmarray Pneumonia plus Panel (BFP), which we have compared against microbiological culture and identification. The lower respiratory samples from patients were tested with BFP, culture, and identification with culture considered the gold standard. The phenotypic antibiotic susceptibility results (Vitek 2) were compared with the antimicrobial resistance (AMR) genes detected in BFP. Statistical analysis was carried out using GraphPad 7.0 and MS Excel (Microsoft Inc.). The results showed a positive percent agreement of 100% and a negative percent agreement of 47.8% with an overall agreement of 76.72% compared to culture. BFP was better at identifying fastidious bacteria, and the agreement with culture was higher for high bacterial identification numbers (10

Indexed as

Anti-Bacterial AgentsBacteriaMicrobial Sensitivity TestsDrug Resistance, BacterialHumansMolecular Diagnostic TechniquesMultiplex Polymerase Chain ReactionRespiratory Tract InfectionsAnti-Bacterial AgentsAMRBiofirebronchoalveolar lavagecultureendotracheal aspiratePCRpneumonia

Identifiers

PMID38712971
PMCPMC11237763

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.